import parcels
- from parcels import ParcelsRandom

example_dataset_folder = parcels.download_example_dataset("GlobCurrent_example_data")
filenames = {
    "U": f"{example_dataset_folder}/20*.nc",
    "V": f"{example_dataset_folder}/20*.nc",
}
variables = {
    "U": "eastward_eulerian_current_velocity",
    "V": "northward_eulerian_current_velocity",
}
dimensions = {"lat": "lat", "lon": "lon", "time": "time"}

fieldset = parcels.FieldSet.from_netcdf(filenames, variables, dimensions)

def nudge_kernel(particle, fieldset, time):
-   dlat = ParcelsRandom.normalvariate(0.0, 1.0)
+   dlat = parcels.ParcelsRandom.normalvariate(0.0, 1.0)
    particle_dlat += dlat

time = np.arange(0, 43200, 3600)
lon = [29] * len(time)
lat = [-33] * len(time)
pset = parcels.ParticleSet(fieldset=fieldset, pclass=parcels.JITParticle, lon=lon, lat=lat, time=time)


pset.execute(
    nudge_kernel,
    runtime=timedelta(days=7),
    dt=timedelta(minutes=5),
    output_file=output_file,
)